Bibliographic record
Abstract
Abstract Warren Zev Harvey was born in New York in 1943. He received his B.A. from Columbia University in 1965 and his Ph.D. in philosophy from the same institution in 1973. After finishing his graduate studies, he began his teaching career at McGill University in Montreal, Canada, where he taught between 1971 and 1977. In the late 1970s, he accepted an offer from the Hebrew University of Jerusalem and has taught there ever since, working his way up the ladder from lecturer to full professor. A specialist in medieval Jewish philosophy, he is the author of Physics and Metaphysics in Hasdai Crescas (1998) and of numerous articles on Judah Halevi, Maimonides, Spinoza, and other medieval and modern Jewish philosophers. In addition, he has served as coeditor of Tarbiz, the Hebrew quarterly for Jewish studies (1992-1996), and as director of Misgav Yerushalayim, the Center for the Study of the Sephardi and Oriental Jewish Heritage (1996-2000). He has also been a visiting professor at the Ecole Pratique des Hautes Etudes, Paris; the Ecole des Hautes Etudes en Sciences Sociales, Paris; the University of Pennsylvania; Queens College, New York; Yeshiva University; and Yale University.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.010 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".